The Operational Calibration of Images Taken in the Visible Channel of the Meteosat Series of Satellites

Rigollier, Christelle; Lefèvre, Mireille; Blanc, Philippe; Wald, Lucien

doi:10.1175/1520-0426(2002)019<1285:tocoit>2.0.co;2

Cited by 25 publications

(22 citation statements)

References 16 publications

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“…Six sensors were used: Meteosat-2 to -7, but 28 changes in sensor were experienced, not counting changes in gain [20]. A method for the self-calibration of Meteosat images was proposed by [21] and an operational version of this method was devised by [20] to produce a consistent set of B2 images of radiances.…”

Section: What Are the Challenges?mentioning

confidence: 99%

The HelioClim Project: Surface Solar Irradiance Data for Climate Applications

et al. 2011

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Abstract:Meteosat satellite images are processed to yield values of the incoming surface solar irradiance (SSI), one of the Essential Climate Variables. Two HelioClim databases, HC-1 and HC-3, were constructed covering Europe, Africa and the Atlantic Ocean, and contain daily and monthly means of SSI. The HC-1 database spans from 1985 to 2005; HC-3 began in 2004 and is updated daily. Their quality and limitations in retrieving monthly means of SSI have been studied by a comparison between eleven stations offering long time-series of measurements. A good agreement was observed for each site: bias was less than 10 W/m² in absolute value (5% in relative value) for HC-3. HC-1 offers a similar quality, though it underestimates the SSI for latitudes greater than 45° and less than −45°. Time-series running from 1985 to date can be created by concatenating the HC-1 and HC-3 values and could help in assessing SSI and its changes.

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Section: What Are the Challenges?mentioning

confidence: 99%

The HelioClim Project: Surface Solar Irradiance Data for Climate Applications

et al. 2011

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“…Meteosat data were converted into radiances using the calibration coefficients proposed by Rigollier et al (2002). Each image of radiances was processed by the means of the method Heliosat-2.…”

Section: The B2 Data Set Usedmentioning

confidence: 99%

Using reduced data sets ISCCP-B2 from the Meteosat satellites to assess surface solar irradiance

Lefèvre

Wald

Diabaté³

2007

Solar Energy

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“…Table 2 provides an overview over major events that may have affected the stability of the CM SAF SIS CDR. Switches between satellites for only a few days are not listed (see details in [38]). The SNHT test detects shifts and artificial short-term and long-term trends in a time series.…”

Section: Homogeneity Testsmentioning

confidence: 99%

A Satellite-Based Surface Radiation Climatology Derived by Combining Climate Data Records and Near-Real-Time Data

et al. 2013

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This study presents a method for adjusting long-term climate data records (CDRs) for the integrated use with near-real-time data using the example of surface incoming solar irradiance (SIS). Recently, a 23-year long (1983Recently, a 23-year long ( -2005 continuous SIS CDR has been generated based on the visible channel (0.45-1 μm) of the MVIRI radiometers onboard the geostationary Meteosat First Generation Platform. The CDR is available from the EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF). Here, it is assessed whether a homogeneous extension of the SIS CDR to the present is possible with operationally generated surface radiation data provided by CM SAF using the SEVIRI and GERB instruments onboard the Meteosat Second Generation satellites. Three extended CM SAF SIS CDR versions consisting of MVIRI-derived SIS (1983-2005 and three different SIS products derived from the SEVIRI and GERB instruments onboard the MSG satellites (2006 onwards) were tested. A procedure to detect shift inhomogeneities in the extended data record (1983-present) replaced by the narrow-band SEVIRI and the broadband GERB radiometers and a new retrieval algorithm was applied. This induces significant challenges for the homogenisation across the satellite generations. Homogenisation is performed by applying a mean-shift correction depending on the shift size of any segment between two break points to the last segment (2006-present). Corrections are applied to the most significant breaks that can be related to satellite changes. This study focuses on the European region, but the methods can be generalized to other regions. To account for seasonal dependence of the mean-shifts the correction was performed independently for each calendar month. In comparison to the ground-based reference the homogenised data record shows an improvement over the original data record in terms of anomaly correlation and bias. In general the method can also be applied for the adjustment of satellite datasets addressing other variables to bridge the gap between CDRs and near-real-time data.

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The Operational Calibration of Images Taken in the Visible Channel of the Meteosat Series of Satellites

Cited by 25 publications

References 16 publications

The HelioClim Project: Surface Solar Irradiance Data for Climate Applications

The HelioClim Project: Surface Solar Irradiance Data for Climate Applications

Using reduced data sets ISCCP-B2 from the Meteosat satellites to assess surface solar irradiance

A Satellite-Based Surface Radiation Climatology Derived by Combining Climate Data Records and Near-Real-Time Data

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